Software Engineering at Google: Lessons Learned from Programming Over Time product image

Software Engineering at Google: Lessons Learned from Programming Over Time

By Titus Winters, Tom Manshreck, Hyrum Wright

Nerd Approved:
(5/5)
Review by Joshua Morris on
View on AmazonAs an Amazon Associate, I earn from qualifying purchases at no additional cost to you.

Review

Read the full editorial review — longer Engineering Log take on this book.

Software Engineering at Google is the book I reference when someone asks how to build software that lasts. Winters, Manshreck, and Wright share lessons from maintaining codebases that have been around for decades, and the insights are gold. The chapter on testing—why Google writes so many tests, how they structure them, what they test—helped me understand why our test suite was failing us. The section on code review culture showed me why some teams have better code quality than others, and the chapter on documentation gave me a framework for writing docs that actually get read. The book is practical: it's not about Google's specific tools, it's about the principles and practices that work at scale. My only critique is that some practices assume Google-scale resources, but the principles apply anywhere. I've recommended it to teams trying to improve their engineering culture, and it's helped them see that small changes—better testing, code review standards, documentation—compound into better software. Essential reading for anyone building software that needs to last.

✓ Pros

  • Practical lessons from maintaining codebases for decades
  • Excellent chapters on testing, code review, and documentation
  • Principles that apply beyond Google-scale to any team
  • Shows how small changes compound into better software

✗ Cons

  • Some practices assume Google-scale resources
  • Could use more examples from smaller organizations
  • Focuses on Google's specific culture—may not translate everywhere

Specifications

Pages602
PublisherO'Reilly Media
LanguageEnglish
Isbn13978-1492082798
Publication DateFebruary 28, 2020

Related Products

97 Things Every Programmer Should Know: Collective Wisdom from the Experts product image

By Kevlin Henney

Nerd Approved:
(4/5)

Edited by Kevlin Henney, a curated set of timeless, page-length lessons from industry legends. Each item is a standalone insight you can read in five minutes.

Timeless, page-length lessons from industry legends. Perfect for busy developers—read one item in five minutes, learn something useful, put it down. Read full review.

As an Amazon Associate, I earn from qualifying purchases at no additional cost to you.
A Developer's Guide to Integrating Generative AI into Applications product image

By Chris Minnick

Nerd Approved:
(5/5)

A practical, production-minded developer guide for moving generative AI features from impressive prototypes into real applications, with strong coverage of UX, performance, cost, caching, monitoring, graceful degradation, and business viability.

A practical, production-minded guide for developers moving generative AI features from impressive demos to reliable, cost-aware application experiences. Read full review.

As an Amazon Associate, I earn from qualifying purchases at no additional cost to you.
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations product image

By Nicole Forsgren, Jez Humble, Gene Kim

Nerd Approved:
(5/5)

Research-backed field guide that ties lean software delivery habits to measurable business outcomes, unpacking the DORA metrics, cultural foundations, and continuous delivery capabilities that separated top performers in the Accelerate State of DevOps reports.

Still my go-to reference when aligning execs around DORA metrics and the cultural work that makes continuous delivery stick. Read full review.

As an Amazon Associate, I earn from qualifying purchases at no additional cost to you.